Datasets:
metadata
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
language:
- tr
tags:
- protest event detection
- protest detection
- public reaction
Public Protest Event Detection in Turkish
80 news events/articles occurred between 2015 and 017. Each event is listed with its origin date, place, news url, public-reaction category, and reaction tags.
Protest labels are determined in terms of dimensions and directions.
Dimensions are in terms of national, local, and social media. National categories represent public reactions occurred in at least two different cities. Local categories have events occurred at only a specific place. Social categories represent reactions that people share opinions only in social media, such as microblogs.
Directions are either negative or positive.
Overall, there are 7 classes:
- national positive
- national negative
- local positive
- local negative
- social positive
- social negative
- no reaction
GitHub Repo: https://github.com/BilkentInformationRetrievalGroup/BilPredict2017
If you would like to use any material in this repository, please cite the following paper:
- Toraman, C. Early Prediction of Public Reactions to News Events Using Microblogs. Seventh BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2017), Barcelona, Spain, 5 September 2017.